event-bg-2

By progress

The European Data Platform and AI Summit

January 19, 2027 | Carré Édouard VII, Paris

Make 2027 the year your data and AI ambitions deliver. Join industry peers and data and AI leaders in Paris to explore how to connect enterprise data, deliver trusted insights and turn AI ambition into practical business value.

Event Starts In
0
Days
0
Hours
0
Minutes
bottom-right-hex-decor

Why Attend

Fresh perspectives. Meaningful connections. Practical ideas for your next move.

Whether you’re exploring new approaches or building on your existing investment, join a focused day of learning and conversation with people tackling the same data and AI challenges as you.

  • Learn from leaders: Explore how connected data, business context and governance can support trusted, valuable AI.
  • Connect with industry peers: Exchange experiences with data and AI leaders, architects and technical decision makers.
  • Find your next step: Gain ideas from customer experiences and expert discussions to help shape your own initiatives.

Join us on 19 January at Carré Édouard VII, Paris, and move your data and AI plans forward.

Context

AI needs trusted information, but access alone is not enough. It also needs the relationships, meaning and business definitions that show how the business operates. Knowledge models capture this context by connecting data to the concepts and terminology that matter.
Without context, AI may reach the right information yet still misinterpret it.

Control

As AI enters business processes, governance matters more. Organizations need visibility into what AI can access, which policies apply and when human review is required. The question is not only what AI can do, but what it should be allowed to do. Control keeps speed from compromising accountability.

Confidence

Ultimately, organizations need confidence in AI-generated outputs. That confidence comes from transparency: understanding what data informed a recommendation, which business rules applied and whether the result suits the decision. These are organizational, not just technology, challenges. They require a strong data foundation and well-defined governance practices.

top-right-hex-decor

Speakers

Empower your apps learning and business rules.

Marina Kalova

Marina Kalova

Principal Inside Partner Account Manager

Dominic Spitz

Dominic Spitz

Principal Account Manager MarkLogic

Jukka Silvennoinen

Jukka Silvennoinen

Principal Partner Account Manager

Eduard Smeets

Eduard Smeets

Senior Sales Manager EMEA-North

Ruben Dröge

Ruben Dröge

Principal Sales Engineer

Cecilia Stockare

Cecilia Stockare

Customer Success Director

Agenda

A Full-Day Summit for Data, AI & Technology Leaders is coming soon. Stay tuned for the finalised agenda, which will be announced soon.

Why Attend?

  • Learn how to build a trusted, governed data foundation for enterprise AI.
  • Discover how Agentic RAG can turn enterprise knowledge into contextual, actionable answers.
  • Explore how Progress Data Platform supports data integration, contextual understanding and AI readiness.
  • Gain practical insights to help move AI initiatives from experimentation to real-world adoption.
  • Connect with customers, partners and peers facing similar data and AI challenges.
  • Identify next steps to align your data and AI strategy with measurable business outcomes.

Speakers

Meet our confirmed speakers, with more to be announced in the weeks ahead.

Dominic Spitz

Dominic Spitz

Enterprise Account Manager, Progress Data Platform

James Kerr headshot

James Kerr

Product Owner Progress Data Platform

Jeremy Brunet headshot

Jeremy Brunet

Sales Engineer Principal, Progress Data Platform

Matthieu Jonglez headshot

Matthieu Jonglez

SVP Product and Engineering, Progress

Selin Aydede headshot

Selin Aydede

Sales Engineer, Progress Data Platform

Stéphane Mahmoudi

Sales Director Progress Data Platform

Venue

Carré Édouard VII

Address: 13 bis Rue Bruno Coquatrix, 75009 Paris


carre-venue
Loading animation

Register

Highlights From Past Events

Empower your apps to improve operational efficiencies and streamline complex decision processes with automated machine learning and business rules.